1

Cuda Engineer Salary Jobs (NOW HIRING)

OR · On-site

$122K - $161K/yr

We are hiring a full-time Software Engineer to work on the CUDA Core Libraries that power GPU ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

OR · On-site

$122K - $161K/yr

NVIDIA Nsight Compute helps CUDA engineers around the world to innovate in Artificial Intelligence ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

OR · On-site

$122K - $161K/yr

... CUDA programming and kernel optimization. * A strong analytical approach with experience using ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

next page

Showing results 1-20

Cuda Engineer Salary information

See salary details

$36.5K

$107.3K

$137.5K

How much do cuda engineer salary jobs pay per year?

As of Jun 14, 2026, the average yearly pay for cuda engineer salary in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced CUDA engineers working in specialized fields such as high-performance computing, AI development, or data center infrastructure can earn salaries approaching or exceeding $500,000 annually, especially with seniority, advanced skills, and relevant certifications. These roles often require extensive expertise in GPU programming, parallel processing, and relevant tools like CUDA and NVIDIA hardware.

What engineers make $300,000 a year?

Highly experienced CUDA engineers working in specialized fields such as high-performance computing, artificial intelligence, or data centers can earn salaries around $300,000 annually, especially with advanced skills in GPU programming, deep learning frameworks, and relevant certifications. Such roles often require extensive experience, a strong technical background, and sometimes leadership responsibilities or unique project demands.

What is the difference between Cuda Engineer Salary vs GPU Developer Salary?

AspectCuda Engineer SalaryGPU Developer Salary
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fields; knowledge of CUDA, parallel programmingBachelor's or higher in Computer Science, Software Engineering, or related fields; experience with GPU programming
Work EnvironmentResearch labs, tech companies, AI firms, hardware manufacturersSoftware development companies, gaming industry, AI and machine learning firms
Industry UsagePrimarily in high-performance computing, AI, and scientific researchIn gaming, visualization, AI, and software optimization

Both roles require expertise in GPU programming and similar educational backgrounds. Cuda Engineers focus more on developing and optimizing CUDA-based applications, while GPU Developers work broadly on GPU-accelerated software. Salary differences depend on experience, location, and industry demand, but both roles are highly valued in tech sectors leveraging GPU technology.

What is the average salary of a CUDA Engineer?

The average salary of a CUDA Engineer in the United States typically ranges from $110,000 to $160,000 per year, depending on experience, location, and industry. CUDA Engineers with specialized skills in GPU programming and parallel computing are often in high demand, particularly in sectors such as artificial intelligence, high-performance computing, and graphics. Salaries may be higher in tech hubs like Silicon Valley or for engineers with advanced degrees and significant experience.

Is CUDA an in demand skill?

CUDA is a highly in-demand skill for roles such as CUDA engineers, especially in fields like high-performance computing, artificial intelligence, and graphics processing. Proficiency in parallel programming and experience with GPU architectures increase employability in industries that require intensive data processing and real-time computation.

What are the key skills and qualifications needed to thrive as a CUDA Engineer, and why are they important?

To thrive as a CUDA Engineer, you need strong programming expertise in C/C++, parallel computing concepts, and a solid understanding of GPU architecture, typically supported by a degree in computer science or a related field. Experience with NVIDIA CUDA toolkit, GPU profiling tools, and parallel computing frameworks is essential, and certifications in CUDA development can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this field. These skills and qualities are crucial for developing efficient, high-performance applications and collaborating on complex technical projects.

How much do CUDA engineers make?

CUDA engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in GPU programming and parallel computing tend to offer higher salaries, often exceeding $120,000.

What are some common challenges faced by CUDA engineers when collaborating with cross-functional teams?

CUDA engineers often work closely with software developers, data scientists, and hardware engineers to optimize code for GPU acceleration. A common challenge is effectively communicating complex GPU programming concepts to team members who may not have a background in parallel computing. Additionally, integrating CUDA code into broader projects can require careful coordination to ensure compatibility and performance across different platforms. Overcoming these challenges often involves clear documentation, regular team meetings, and a willingness to provide technical guidance to colleagues.
More about Cuda Engineer Salary jobs
What cities are hiring for Cuda Engineer Salary jobs? Cities with the most Cuda Engineer Salary job openings:
What states have the most Cuda Engineer Salary jobs? States with the most job openings for Cuda Engineer Salary jobs include:
C++/CUDA-Signal Processing Engineer

C++/CUDA-Signal Processing Engineer

Dalcom, LLC

Aberdeen Proving Ground, MD • On-site

$140K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Job Title: C++/CUDA Signal Processing Engineer

Company: Dalcom Engineering

Location: Aberdeen Proving Ground, MD

Salary: $140,000-$176,000

Position Overview: Dalcom Engineering is currently seeking a software developer skilled in C++ and CUDA programming, to support Science and Technology (S&T) efforts for radar and signal systems at Aberdeen Proving Ground.

About Us: Founded in 1998, Dalcom Engineering is a HUBZone certified small business committed to providing engineering solutions to the Government and private sectors. Through specializations in computer programing/software development, engineering modeling and combat systems analysis, Dalcom Engineering takes pride in building and empowering teams that will continue to grow with us.

Key Responsibilities:

Develop algorithms for Digital Signal Processing (DSP), Digital Beam Forming (DBF), and general I/Q processing; implement these algorithms in C++ or CUDA and integrate into distributed simulation environment

Coordinate with teams implementing algorithms within MATLAB, as well as within System on a Chip (SoC) embedded solutions (RFSOC)

Provide expertise in signal processing, particularly in the processing of radar I/Q data

Analyze gaps and tradeoffs in existing simulations environment, and develop corresponding Courses of Action (COAs)

Coordinate with internal and external organizations to support requirements definition

Communicate proposed approaches and findings to all levels of leadership

Collaborate in technical discussions to assist with near- and long-term system planning

Prepare technical reports and conference papers describing findings and future work

Write test procedures for algorithm evaluation and analysis

Manage code quality through version control, automated software builds, and automated unit testing

Qualifications/Desired Skills:

Bachelor's degree in Computer Science from an ABET-accredited institution

Active TS/SCI clearance

3+ years of implementation experience in modern C++

Experience with CUDA programming / memory management

Experience with GIT or other version control

Clearly communicates complex ideas and produces high-impact, well-organized presentations in relevant terms for audiences at all levels

In addition to these skills, we also desire a candidate who has provided previous support or has experience with the following:

2+ years of experience in radar system design, development, engineering, test, evaluation, and data analysis

Proactive continuous learner, ideally with public repositories on GitLab, GitHub, etc.

Quality technical writing skills

Development experience on Linux (Redhat) and Windows

Understanding of unit testing in C++ and JAVA environments

1+ years of experience with MATLAB

1+ years of experience with Python

Experience with multithreading and/or C++ optimization

What We Offer:

401(k)

401(k) matching

Dental insurance

Health insurance

Health savings account

Life insurance

Paid time off

Vision insurance

If you're driven by intellectually stimulating work, enjoy collaborating with talented peers, and thrive in a high-performing environment, then Dalcom may be for you!


Dalcom logo

About Dalcom

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Greensboro, NC, US

Year founded

1997